<h4>Tool</h4><table border="0"><tr><td valign="top"><b>Name</b></td><td valign="top">Zonal Multiple Regression Analysis (Points and Predictor Grids)</td></tr><tr><td valign="top"><b>ID</b></td><td valign="top">15</td></tr><tr><td valign="top"><b>Author</b></td><td valign="top">O.Conrad, P.Gandelli (c) 2015</td></tr><tr><td valign="top"><b>Specification</b></td><td valign="top">grid</td></tr></table><hr><h4>Description</h4>Linear regression analysis of point attributes using multiple predictor grids. Details of the regression/correlation analysis will be saved to a table. The regression function is used to create a new grid with regression based values. The multiple regression analysis uses a forward selection procedure. Each polygon in the zones layer is processed as individual zone. 
Reference:
- Bahrenberg, G., Giese, E., Nipper, J. (1992): 'Statistische Methoden in der Geographie 2 - Multivariate Statistik', Stuttgart, 415p.
<hr><h4>Parameters</h4><table border="1" width="100%" valign="top" cellpadding="5" rules="all"><tr><th>Name</th><th>Type</th><th>Identifier</th><th>Description</th><th>Constraints</th></tr>
<tr><th colspan="5">Input</th></tr><tr><td>Predictors </td><td>Grid list (input)</td><td>PREDICTORS</td><td></td><td></td></tr><tr><td>Zones </td><td>Shapes (input)</td><td>ZONES</td><td></td><td></td></tr><tr><td>Points </td><td>Shapes (input)</td><td>POINTS</td><td></td><td></td></tr><tr><th colspan="5">Output</th></tr><tr><td>Residuals (*)</td><td>Shapes (optional output)</td><td>RESIDUALS</td><td></td><td></td></tr><tr><td>Regression</td><td>Grid (output)</td><td>REGRESSION</td><td></td><td></td></tr><tr><th colspan="5">Options</th></tr><tr><td>Dependent Variable</td><td>Table field</td><td>ATTRIBUTE</td><td></td><td></td></tr><tr><td>Resampling</td><td>Choice</td><td>RESAMPLING</td><td></td><td>Available Choices:
[0] Nearest Neighbour
[1] Bilinear Interpolation
[2] Bicubic Spline Interpolation
[3] B-Spline Interpolation
Default: 3</td></tr><tr><td>Include X Coordinate</td><td>Boolean</td><td>COORD_X</td><td></td><td>Default: 0</td></tr><tr><td>Include Y Coordinate</td><td>Boolean</td><td>COORD_Y</td><td></td><td>Default: 0</td></tr><tr><td>Intercept</td><td>Boolean</td><td>INTERCEPT</td><td></td><td>Default: 1</td></tr><tr><td>Method</td><td>Choice</td><td>METHOD</td><td></td><td>Available Choices:
[0] include all
[1] forward
[2] backward
[3] stepwise
Default: 3</td></tr><tr><td>Significance Level</td><td>Floating point</td><td>P_VALUE</td><td>Significance level (aka p-value) as threshold for automated predictor selection, given as percentage</td><td>Minimum: 0.000000
Maximum: 100.000000
Default: 5.000000</td></tr></table>(*) <i>optional</i>